Sökning: "C-tactile afferents"
Visar resultat 1 - 5 av 7 avhandlingar innehållade orden C-tactile afferents.
1. Investigations of human cortical processing of gentle touch. A study with time-resolved electro-magnetic signal analysisDetta är en avhandling från Göteborgs universitet
Sammanfattning : The present work summarizes investigations of the temporal correlates of brain activity elicited by gentle, moving touch on the hairy skin in healthy participants and in epilepsy patients. Light touch to the hairy skin activates two distinct afferent classes: fast conducting, Aβ afferents and slowly conducting C-tactile (CT) afferents. LÄS MER
2. Affective touch throughout life: from cortical processing in infancy to touch perception in adulthoodDetta är en avhandling från Göteborgs universitet
Sammanfattning : Affective, interpersonal touch is important for forming and maintaining social bonds. In the hairy skin of humans there is a specific type of nerve fibers called C-tactile (CT) afferents which are optimally activated by a light stroking of the skin, like a caress. LÄS MER
3. The Perception and Evaluation of Pleasant Touch and the Development of "Satiety" for Hedonic Tactile ExperiencesDetta är en avhandling från Göteborg : Reprocentralen Lorensberg
Sammanfattning : Pleasant touch is a hedonic experience and one of the most powerful means for social bonding and for communicating affection. Touch similar to a human caress is detected by the “C tactile (CT) afferents”, a class of mechanoreceptors which respond preferentially to stroking velocities between 1 and 10 cm/s. LÄS MER
- Detta är en avhandling från Göteborg : Psykologiska institutionen, Göteborgs universitet
Sammanfattning : Physical contact among individuals, such as caressing and cuddling, is connoted by a strong emotional value, and is usually perceived as a pleasant and rewarding experience. C tactile (CT) afferents are a class of fibres that are specific channels for detecting touch at a caress-like veloc-ity (between 1 and 10 cm/s). LÄS MER
5. Machine learning for identification of brain activity patterns with applications in gentle touch processingDetta är en avhandling från Göteborg : Psykologiska institutionen, Göteborgs universitet
Sammanfattning : Since the first mention of artificial intelligence in the 1950s, the field of machine learning has provided increasingly appealing tools for recognition of otherwise unintelligible pattern representations in complex data structures. Human brain activity, acquired using functional magnetic resonance imaging (fMRI), is a prime example of such complex data where the utility of pattern recognition has been demonstrated in a wide range of studies recently (Haynes et al. LÄS MER